Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_846264_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.218594551086426
Linear Weight Rank: 16
Intra Cos: 0.0798892006278038
Inter Cos: 0.0017584878951311111
Norm Quadratic Average: 4.001680850982666
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.252077102661133
Linear Weight Rank: 180
Intra Cos: 0.06389170140028
Inter Cos: 0.004578933585435152
Norm Quadratic Average: 13.991766929626465
Nearest Class Center Accuracy: 0.860375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.197328567504883
Linear Weight Rank: 179
Intra Cos: 0.09342610836029053
Inter Cos: 0.004616215359419584
Norm Quadratic Average: 13.992698669433594
Nearest Class Center Accuracy: 0.899125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.153188705444336
Linear Weight Rank: 180
Intra Cos: 0.1146160438656807
Inter Cos: 0.003812067676335573
Norm Quadratic Average: 13.95874309539795
Nearest Class Center Accuracy: 0.9355

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.155739784240723
Linear Weight Rank: 180
Intra Cos: 0.1355128437280655
Inter Cos: 0.004135309252887964
Norm Quadratic Average: 13.926872253417969
Nearest Class Center Accuracy: 0.96625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.138043403625488
Linear Weight Rank: 179
Intra Cos: 0.16936276853084564
Inter Cos: -0.007173915859311819
Norm Quadratic Average: 13.903964042663574
Nearest Class Center Accuracy: 0.98975

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.13900375366211
Linear Weight Rank: 179
Intra Cos: 0.22314994037151337
Inter Cos: -0.012843746691942215
Norm Quadratic Average: 13.922126770019531
Nearest Class Center Accuracy: 0.999625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.125341415405273
Linear Weight Rank: 179
Intra Cos: 0.29046812653541565
Inter Cos: -0.029978031292557716
Norm Quadratic Average: 13.935226440429688
Nearest Class Center Accuracy: 0.999875

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.093714475631714
Linear Weight Rank: 4
Intra Cos: 0.46246346831321716
Inter Cos: -0.09830532968044281
Norm Quadratic Average: 14.075874328613281
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.956399142742157
Inter Cos: -0.15026775002479553
Norm Quadratic Average: 11.123412132263184
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.3616293754577637
Accuracy: 0.885
NC1 Within Class Collapse: 1.2108908891677856
NC2 Equinorm: Features: 0.017984820529818535, Weights: 0.02523026615381241
NC2 Equiangle: Features: 0.2290697693824768, Weights: 0.11953352888425191
NC3 Self-Duality: 0.2453577220439911
NC4 NCC Mismatch: 0.020499999999999963

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.218594551086426
Linear Weight Rank: 16
Intra Cos: 0.0803302675485611
Inter Cos: 0.0033128969371318817
Norm Quadratic Average: 3.988335609436035
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.252077102661133
Linear Weight Rank: 180
Intra Cos: 0.06235359609127045
Inter Cos: 0.002328618662431836
Norm Quadratic Average: 13.972578048706055
Nearest Class Center Accuracy: 0.863

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.197328567504883
Linear Weight Rank: 179
Intra Cos: 0.08976087719202042
Inter Cos: 0.00392299797385931
Norm Quadratic Average: 13.971975326538086
Nearest Class Center Accuracy: 0.8805

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.153188705444336
Linear Weight Rank: 180
Intra Cos: 0.10652097314596176
Inter Cos: -0.0017304052598774433
Norm Quadratic Average: 13.976612091064453
Nearest Class Center Accuracy: 0.893

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.155739784240723
Linear Weight Rank: 180
Intra Cos: 0.1211913675069809
Inter Cos: 0.006755438633263111
Norm Quadratic Average: 13.896488189697266
Nearest Class Center Accuracy: 0.8885

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.138043403625488
Linear Weight Rank: 179
Intra Cos: 0.14333438873291016
Inter Cos: -0.002266430063173175
Norm Quadratic Average: 13.839978218078613
Nearest Class Center Accuracy: 0.894

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.13900375366211
Linear Weight Rank: 179
Intra Cos: 0.17583394050598145
Inter Cos: -0.0005959940608590841
Norm Quadratic Average: 13.792275428771973
Nearest Class Center Accuracy: 0.889

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.125341415405273
Linear Weight Rank: 179
Intra Cos: 0.22118595242500305
Inter Cos: -0.004709139466285706
Norm Quadratic Average: 13.655362129211426
Nearest Class Center Accuracy: 0.895

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.093714475631714
Linear Weight Rank: 4
Intra Cos: 0.32533928751945496
Inter Cos: -0.03701840713620186
Norm Quadratic Average: 13.409188270568848
Nearest Class Center Accuracy: 0.892

Output Layer:
Intra Cos: 0.7116232514381409
Inter Cos: -0.043421220034360886
Norm Quadratic Average: 10.113454818725586
Nearest Class Center Accuracy: 0.8905

